Abstract
A radial basis function network (RBFN) based adaptive H/sup /spl infin// control scheme for nonlinear systems with unknown hysteresis nonlinearity is developed. This scheme applies the method of pseudo-control to the design of the control strategy for the systems with hysteresis that cannot be measured directly. For the uncertainty of unknown hysteresis, the H/sup /spl infin// optimal control technique based on RBF neural network is utilized. Therefore, the tracking error of the system is suppressed to a prescribed small region. Finally, the effectiveness of the proposed control scheme is illustrated through simulation.
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